Generative AI in action

Music City Center 

we explore the architectural foundations and practical applications of generative AI, with particular emphasis on transformer-based models that have revolutionized natural language processing paradigms. We begin by examining the fundamental principles of transformer architectures, highlighting the key innovations in self-attention mechanisms and parallel processing that enable unprecedented contextual understanding. The discussion then transitions to concrete applications, specifically focusing on information extraction and conversational systems, where we analyze the shift from traditional rule-based approaches to neural architectures. Through detailed technical exposition, we demonstrate how generative AI has simplified complex NLP pipelines while significantly improving performance metrics. The presentation culminates in a live demonstration showcasing these capabilities in action. This comprehensive overview bridges theoretical frameworks.